Navrag Singh received his PhD from the Humboldt University of Berlin, Germany, in 2012. During his PhD, he specialised in identifying adaptations that occur with age and muscle fatigue while performing activities and tasks of daily living. Currently he leads the Neuromuscular Biomechanics research team at the ETH Zurich. Together with his team, Dr Singh implements experimental and statistical approaches for benchmarking these performance adaptations with age, pathology as well as task-related perturbations. Benchmarking behavioural adaptations through these evidence-based approaches will enhance clinical uptake.
Within the flagship Future Health Technologies program, his project aims at assessing the risk of falling in older adults via the use of wearable sensors. The project focusses on generalising existing statistical models by using machine and deep learning approaches to provide features within walking patterns that are precursors to fall risk. The advantages of such an approach are personalised assessment of fall risk in ecologically valid settings. The personalised fall risk will allow development of therapies targeted to the movement features specific to the individual.
Day 2, 13 October 2023 , Friday, 1120 – 1135hrs
Session 6: 13 Oct 2023, Fri, 1100 - 1230hrs
Track : Track 3A: Built Environment for Health (Hall 1)
Topic : Early Detection of Fall Risk and Mitigation Strategies